Many fans consider cricket the greatest game yet invented, and cutting-edge technologies have had a substantial effect on its popularity. Smart platforms now enable precise monitoring of game processes, providing an in-depth understanding of cricket as a sport discipline.
Cricket and technology have always gone hand in hand, with coaches able to track ball speed, predict the distance a ball will travel from the bat, and determine the time it reaches the edge of the field. With a reliable platform like Mostbet, cricket predictions become more scrupulous, paired with thoroughness and integrity.
Let’s explore how technology is redefining cricket, and why, in the coming years, AI is expected to address complex situations unfolding before fans’ eyes.
The Science of Cricket and Data
Expert systems and data-driven science are revolutionizing all spheres of industry, including cricket. Microsoft, for instance, is working on devices that gather scrupulous strike data throughout cricket matches. A wide range of enterprises are applying the science of data behind the game, utilizing artificial intelligence (AI) and the Internet of Things (IoT).
Typically, cricket has two main players: the bowler, who delivers the ball, and the batsman, who hits it. But what’s the technique behind this performance?
Former captain and coach Anil Kumble was one of the pioneers to investigate the game from an empirical perspective. Kumble is known to have set up a scorecard-like software product for data analysis in 1996. At the time, the development team incorporated a streamlined system to enhance their cricket strategy and improve efficiency.
“In conversations with seasoned players, we predominantly heard that the batsman plays a more pivotal role in the game than the bowler,” Kumble mentions. According to him, bowlers are simply deprived of the right to complain that the ball doesn’t suit them.
On the other hand, batsmen can adjust the thickness of their bat in millimeters or switch its weight in ounces. They also have a chance to introduce customizations to their bats to influence the course of events.
The Power of AI Implemented Through the Bat
Artificial intelligence and advanced analytics are taking the sports world by storm. In 2017, during the ICC Champions Trophy ceremony, a state-of-the-art cricket bat with a sensor on the top was unveiled. This awe-inspiring technology was made up and subsequently refined by Intel.
Recognized as the Power Bat, this advancement can provide four data parameters about any shot in real-time:
Ball speed
Quality of the batsman’s shot
Ball trajectory after impact with the bat or its edge
Power of the stroke
A short time later, a sticker equipped with an IoT sensor was added. In reality, it’s the size of a credit card that weighs just five grams. The sticker successfully records information from the bat about the speed, quality of the shot, and spin after impact. This data is then combined and displayed on-screen for commentators and viewers or transmitted to a next-generation mobile app.
AI Used by National Cricket Leagues to Select Superstars
A remarkable example is the Indian Institute of Science and Technology in Madras, which, in partnership with the sports media organization ESPNcricinfo (a large, up-to-date cricket database), has launched a one-of-a-kind technological program, “Superstars,” that predicts player outcomes and game strategy.
The database was compiled over nearly ten years using sophisticated algorithms and data-driven methods. They rely on machine learning, allowing access to player data without delay.
Another benefit of this technology is that it promotes transparency in the selection process. No one can challenge player selection decisions, as they are based not on human preferences but on raw computer analysis. The algorithm evaluates reaction speed as well as the entire gameplay
However, there is a flip side to the coin. Commonly, machine learning responds to events inputted by humans only. This means it’s close to impossible to predict every specific situation accurately.
For example, a bowler may wear down a batter, but not every attempt succeeds. A bowler may be smart enough to prevent a team from chasing the highest possible winning score, but the algorithm only counts the winning runs they score. In short, this is not an absolute way to calculate the success of a match or a team.
The smart platform is likely to have the following functions:
Predicts the probability of a win for the batting team.
Predicts the winning chances for the team that chooses to bat first.
Predicts the probability of runs and wickets in each over.
Calculates the probable outcome for the bowlers of both teams.
Previous data allows the forecasting metric to be trained, boosting the accuracy of various game events. These metrics compare real-time game results with historical information to generate outcomes.
Ultimately, AI-based innovations have stimulated the progress of cricket and its entertainment value. Smart data platforms cut out the need for expensive specialists and save on their transportation, food, and accommodation, all while making a cricket match a fabulous show to watch.
